Inferential T-Test Data Analysis

I need clear, defensible insight from my “2gjg camplit” dataset using inferential statistics—specifically T-tests. I will send the raw spreadsheet (CSV/Excel) plus a short code-book.

Your task is to decide whether independent or paired T-tests are appropriate, check all underlying assumptions, run the analyses, and summarise the results in language a non-statistician can follow. I am happy for you to work in R, Python (pandas / scipy / statsmodels) or SPSS, as long as the full, commented script is returned so I can reproduce everything later.

Deliverables
• Reproducible code or syntax.
• Output tables with test statistics, p-values, confidence intervals.
• A brief, plain-English interpretation of each finding.

Acceptance criteria
• Normality and variance checks reported.
• Script runs end-to-end on my machine without edits.
• Numerical results in the report match those produced by the script.

If anything about the data structure is unclear, let me know before you begin so we stay aligned.